arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1606.09043cs.NI
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IoT基于云的配电系统状态估计:虚拟对象和上下文感知

IoT Cloud-based Distribution System State Estimation: Virtual Objects and Context-Awareness

Alessio Meloni, Paolo Attilio Pegoraro, Luigi Atzori, Paolo Castello, Sara Sulis

摘要:

本文提出了一种基于物联网云的配电网状态估计系统,其中PMU(相量测量单元)相对于物理设备被虚拟化。在所考虑的系统中,仅应用级实体被放置在云中,而虚拟化PMU在通信网络边缘(即,更靠近物理对象)中运行,以便具有一定程度的本地逻辑,这允许实现到云中所涉及的应用的带宽高效和智能数据传输。本文的主要贡献如下:我们证明了基于云的架构能够实现特定状态估计应用所需的QoS水平;我们表明,在云中实现用于数据传输的特定本地逻辑,相对于以固定间隔频繁发生的估计的情况,状态估计的结果不会降级;我们示出了参考智能电网网络的延迟和减少的网络负载方面的结果。

英文摘要:

This paper presents an IoT cloud-based state estimation system for distribution networks in which the PMUs (Phasor Measurement Units) are virtualized with respect to the physical devices. In the considered system only application level entities are put in the cloud, whereas virtualized PMUs are running in the communication network edge (i.e. closer to the physical objects) in order to have a certain degree of local logic, which allows to implement a bandwidth-efficient and smart data transmission to the involved applications in the cloud. The major contributions of the paper are the following: we demonstrate that a cloud-based architecture is capable of achieving the QoS level required by the specific state estimation application; we show that implementing a certain local logic for data transmission in the cloud, the result of the state estimation is not degraded with respect to the case of an estimation that takes place frequently at fixed intervals; we show the results in terms of latency and reduced network load for a reference smart grid network.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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